---
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: bertweet-base-finetuned-emotion
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: emotion
      type: emotion
      args: default
    metrics:
    - type: accuracy
      value: 0.929
      name: Accuracy
    - type: f1
      value: 0.9295613935787139
      name: F1
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: emotion
      type: emotion
      config: default
      split: test
    metrics:
    - type: accuracy
      value: 0.925
      name: Accuracy
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZThkYWEwYTdjY2IwMmE4NmM2Mzc3ZTVkNTNmNWYwNGUxYTM5ZDA5ODEwMGQ1ZGU0ZmJmY2U1ZDhjYWRlZjU2NSIsInZlcnNpb24iOjF9.QJYOUR_EPrYzbZGBb1N27BSlTQIdvd1hmUfnfPJdTGGrNoQwXBUA4amVsWh1txV_YtO8hcCx-b3pTqzpdy1FAw
    - type: precision
      value: 0.8722017563353339
      name: Precision Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2Y3ZGM2NDk5ZTQyNTNjZDdmNjk5Y2IwNzkxNmU3MDM0YTljMTJjMzFmMTlkN2ZjN2NhZjNhYTVlMWY5NWFjNCIsInZlcnNpb24iOjF9.cBYScC_c6g1ECi3rj6HiRI3AMuoxg8wp7JKha0UKh1Q2qjzTr5ml8JAByPL0iu-Ix5BO2Bsx0fZNFhUS82LiCg
    - type: precision
      value: 0.925
      name: Precision Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjVjYjgwYjE2ZWUyM2Y5MzE0ODk4NDA5MGM2ODIxYTgxZDYyMTUxNzcwZWQ2MjZjZGYwODkyNzFkMjAxOTUzYyIsInZlcnNpb24iOjF9.phgA4BJcqp4ZUhecNeuGU8OAf6f_asN9Mf6JfFGd0cPORYltd_N4Wf6EXqu6z1ADqWeeibteEyIUwmmMEbjYBQ
    - type: precision
      value: 0.9283646705517916
      name: Precision Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjE4MDUyYjU4YTc4Mzk4YmIwMGIzZWEyYmU5ZDQ0MjRhZDQ4OGMwZjVmZmEyNDM5NzYyZTMzMTJiMmRkZTU4NiIsInZlcnNpb24iOjF9.LbYjoga-JSCzHZAF1fhm1CfuaSSI-ok0yXj3gtd4QTWY1TjzOHoMG3Q6zEGz84l6ASoHsvi9wjS7_EaSQLB4Dw
    - type: recall
      value: 0.8982480793145559
      name: Recall Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzFiY2JmYWRhYmE1YzA1MmRhODI0MGE1NTRiMWE3YmNjZWQ4OGExMDg3NmUzYmUzYTYyNTdkNjM1Y2M0ODJmMCIsInZlcnNpb24iOjF9.dAq2gloG0O-4z5Ng7RZkFO7e0og3wBQBmIDzic6onwjw83yaHPVfRd1e0j6mNhMUifOwPLEavnYkBYa9DVFqCw
    - type: recall
      value: 0.925
      name: Recall Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjg5Y2M2NWIwZmI4YjEyMmIzYjNjZmQyMzhlYjg2ZDRmY2U1M2I1NzQzYjRmMzYxYzJkNTI5MDJjMmY5ZDVmNyIsInZlcnNpb24iOjF9.Z5hmQBUsoKAgqTXk47aUDNKf5jJ0mXzY9TAgM9vG8I3pgCT465PEfM-TOKfG_YcPMLd3tkB8AdwDpmVnNj5QCw
    - type: recall
      value: 0.925
      name: Recall Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODIzMjY1YjgzYzAwNjk2NGI1ZjFhZTg4MGY1Mzg5NDhkM2EzY2JlMWM4MjZmNjg4ZmEyZDJmZTUwNDFkZmNiOCIsInZlcnNpb24iOjF9.S-9p04Lru9WTzm50mM5qGM4oA-TPgNw6uwxKr5AejU1iPKjyTDQvoumBs41T5OKL5zN_NyYXsFsCermSbirLAw
    - type: f1
      value: 0.883488774573809
      name: F1 Macro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGMyMjc3NTkxNDNjNTJiNmRmMTA4NzY0MTgyMDc3ZDE4N2RlMTY1YzU4OGQ1YmM1NzY2OGQ4Y2I0MzVhOGU3OSIsInZlcnNpb24iOjF9.D65sLHNZGjp15ra4i5ccYyOX705Xq-hftZjDb6kqE5X-jhzA5VLev6FirhnhyYLBQmA6Q9T1eDYHKkVZG4CcBg
    - type: f1
      value: 0.925
      name: F1 Micro
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTNkMmUwNjYxNGE4M2E2MDA0NTI4ZjA1OTNkMWEwN2MzY2JmMWYxYThiYTZmM2MwZjM5YTIzMGIzMGI4ODJlZSIsInZlcnNpb24iOjF9.cB4WUQN_weyKdMZehH0ECaTcD9Jl1xzmrOzJZz27OJeCPjY0uW8O63HnJZ_LmBF2xqd7HDypT4s8hZBMT-6eDw
    - type: f1
      value: 0.9259820821054494
      name: F1 Weighted
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTY3NDhjNmMzYzM1MjIyY2FkYjI5YTQ1NTdmODhmMGVlNjc2ZjQ3MWZmZWEyMDQ1OGI1NDllZTBhM2VjYzg2MSIsInZlcnNpb24iOjF9.Akd8PVgc2tyin_TaOZV1bio_b00g3QmlHA-GWV3rMX13B1imDLuPAuP-HWIwgqg-umQUkJzcUQlTqbcQ06v0DQ
    - type: loss
      value: 0.18158096075057983
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMDZhODkzODQ2ZjYyMWQxYjEzNzRmMmQ0NjM3M2RiNDdlMTcwOGRhYjA0NWEwYTVjMmY0ZWY3NGQ3MzFhMTQ3ZSIsInZlcnNpb24iOjF9.jzv7qMmQuFmrsR3WoRAsCbrRJhNk0sfEcN07lCqhxUwYcO4rblVbBiePQtr0IDN067PbQmV6ES6W2cjHqvuHAA
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# bertweet-base-finetuned-emotion

This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on the emotion dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1737
- Accuracy: 0.929
- F1: 0.9296

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.9469        | 1.0   | 250  | 0.3643          | 0.895    | 0.8921 |
| 0.2807        | 2.0   | 500  | 0.2173          | 0.9245   | 0.9252 |
| 0.1749        | 3.0   | 750  | 0.1859          | 0.926    | 0.9266 |
| 0.1355        | 4.0   | 1000 | 0.1737          | 0.929    | 0.9296 |


### Framework versions

- Transformers 4.13.0
- Pytorch 1.11.0+cu113
- Datasets 1.16.1
- Tokenizers 0.10.3